Machine Learning Engineer (AI)

Формат работы

remote (Global)

Тип работы

fulltime

Грейд

senior

Английский

Вакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:

TL;DR

Machine Learning Engineer (AI): Developing and optimizing production data science applications and new AI services with an accent on maintaining high-load data science pipelines and adapting machine learning algorithms. Focus on predictive and statistical modeling for complex business needs in a dynamic gaming market.

Location: Remote (Global)

Company

hirify.global is an established technology company, founded in 1999 and listed on the London Stock Exchange, focused on delivering innovative products and services to the regulated gaming market.

What you will do

Develop and maintain production data science applications and AI services end-to-end.
Design new AI services from scratch.
Enhance existing high-load data science pipelines.
Collaborate with R&D and DevOps teams.
Research, invent, and adapt machine learning algorithms for business needs.
Perform predictive and statistical modeling.

Requirements

Minimum 3 years of experience as a Python developer (including PyCharm, git, and debugging).
Minimum 3 years of experience in predictive modeling, preferably within data science production services.
At least 3 years of experience in tabular or time series data analysis.
Proficiency in SQL for data manipulation and visualization.
High level of English proficiency.
Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or similar.

Nice to have

Experience in REST API and cloud deployment.
Knowledge of AWS or GCP.
Master's degree in Engineering, Economics, Mathematics, Statistics, or similar.
Experience in direct communication with business.

Culture & Benefits

Develop personalized recommendations and churn mitigation strategies for engaged user experiences.
Generate insightful reports to empower data-driven decision making.
Opportunity to explore and integrate cutting-edge technologies.
Work in a dynamic and forward-thinking environment focused on responsible development.
Collaborative team environment with a commitment to diversity and inclusion.

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